title: [Research on electrocardiogram de-noising algorithm based on wavelet neural networks].
abstract: In this paper, the ECG de-noising technology based on wavelet neural networks (WNN) is used to deal with the noises in Electrocardiogram (ECG) signal. The structure of WNN, which has the outstanding nonlinear mapping capability, is designed as a nonlinear filter used for ECG to cancel the baseline wander, electromyo-graphical interference and powerline interference. The network training algorithm and de-noising experiments results are presented, and some key points of the WNN filter using ECG de-noising are discussed.
authors.affiliation: Information Engineering College, Guangdong University of Technology, Guangzhou 510006, China. xkwan@gdut.edu.cn
authors.forename: Xiangkui
authors.initials: X
authors.lastname: Wan
authors.forename: Jun
authors.initials: J
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis